code: def __init__(
      self,
      score_threshold=0.05,
      nms_top_k=-1,
      keep_top_k=100,
      nms_threshold=0.5,
      normalized=False,
      nms_eta=1.0,
      background_label=0,
  ):
      super(MultiClassNMS, self).__init__()
      self.score_threshold = score_threshold
      self.nms_top_k = nms_top_k
      self.keep_top_k = keep_top_k
      self.nms_threshold = nms_threshold
      self.normalized = normalized
      self.nms_eta = nms_eta
      self.background_label = background_label
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from collections import OrderedDict
  from paddle import fluid
  from paddle.fluid.param_attr import ParamAttr
  from paddle.fluid.initializer import Normal, Xavier
  from paddle.fluid.regularizer import L2Decay
  from paddle.fluid.initializer import MSRA
label_desc: Use image node_id 1 to create a new MultiClassNMS object from inherited base classes: object with example: obj = MultiClassNMS(score_threshold, nms_top_k, keep_top_k, nms_threshold, normalized, nms_eta, background_label)